{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib图鉴——基础柱状图\n",
    "\n",
    "## 公众号：可视化图鉴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.3.2\n",
      "1.2.0\n",
      "1.19.2\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__) #查看Matplotlib版本\n",
    "import pandas as pd\n",
    "print(pd.__version__) #查看pandas版本\n",
    "import numpy as np\n",
    "print(np.__version__) #查看numpy版本\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #设置中文"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意，代码在以下环境全部通过测试:\n",
    "- Python 3.7.1\n",
    "- Matplotlib == 3.3.2\n",
    "- pandas == 1.2.0\n",
    "- numpy == 1.19.2\n",
    "\n",
    "因版本不同，可能会有部分语法差异，如有报错，请先检查拼写及版本是否一致！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.scatter(x,y)\n",
    "\n",
    "plt.title(\"基础散点图\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "\n",
    "3plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上图为最基本的Matplotlib散点图绘制，有关`plt.scatter`其他参数说明如下：\n",
    "\n",
    ">matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=<deprecated parameter>, edgecolors=None, *, plotnonfinite=False, data=None, **kwargs)  \n",
    "    \n",
    "- x: array 数组数据\n",
    "- y: array 数组数据\n",
    "- s: 散点的大小\n",
    "- c: 调整颜色\n",
    "- marker: 形状\n",
    "- alpha: 0~1 透明度\n",
    "- linewidths: 标记边缘的线宽\n",
    "- edgecolors: 散点边的颜色\n",
    "- cmap: 颜色是浮点数的时候设置\n",
    "- norm: 0-1范围内缩放颜色的范围\n",
    "- vmin: 颜色的最小取值\n",
    "- vmax: 颜色的最大取值\n",
    "\n",
    "下面我们将稍微添加/修改部分参数，制作其他样式的**基本散点图**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图—修改颜色、边框、大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "plt.figure(figsize = (10,7))\n",
    "\n",
    "plt.scatter(x,y,marker ='o',color = 'w',edgecolor = 'deeppink',s =150)\n",
    "\n",
    "plt.title(\"基础散点图——修改颜色、边框、大小\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图—修改形状、透明度、颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "\n",
    "plt.figure(figsize = (10,7))\n",
    "\n",
    "plt.scatter(x,y,s =200,marker ='^',alpha = 0.7,c = np.random.rand(25))\n",
    "\n",
    "plt.title(\"基础散点图——修改形状、透明度\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
